Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Modified Perona-Malik Equation and Computer Simulation for Image Denoising
View through CrossRef
The edges and textures of a digital image may be destroyed by traditional denoising methods, which is a
difficult problem in image denoising. In this paper, anisotropic diffusion algorithm based on Partial differential equation is
studied. First, image denoising algorithms based on Perona-Malik model are studied. Second, a modified Perona-Malik
model is proposed. In the proposed model, the gradient statistic and edge thresholds are embedded into the Perona-Malik
equation. Finally, the effects of this model and some other models are compared and analyzed. The experimental results
show that the proposed modified Perona-Malik model outperforms the original Perona-Malik model in removing
Gaussian noise, and the edges and textures of the image are well preserved.
Bentham Science Publishers Ltd.
Title: Modified Perona-Malik Equation and Computer Simulation for Image
Denoising
Description:
The edges and textures of a digital image may be destroyed by traditional denoising methods, which is a
difficult problem in image denoising.
In this paper, anisotropic diffusion algorithm based on Partial differential equation is
studied.
First, image denoising algorithms based on Perona-Malik model are studied.
Second, a modified Perona-Malik
model is proposed.
In the proposed model, the gradient statistic and edge thresholds are embedded into the Perona-Malik
equation.
Finally, the effects of this model and some other models are compared and analyzed.
The experimental results
show that the proposed modified Perona-Malik model outperforms the original Perona-Malik model in removing
Gaussian noise, and the edges and textures of the image are well preserved.
Related Results
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Enhancing bone scan image quality: an improved self-supervised denoising approach
Enhancing bone scan image quality: an improved self-supervised denoising approach
Abstract
Objective. Bone scans play an important role in skeletal lesion assessment, but gamma cameras exhibit challenges with low sensitivity and...
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
Abstract
Background
Sophisticated methods to properly pre-process and analyze the increasing collection of single-cell RNA sequencing (scRNA-seq) da...
Wavelet Denoising of Well Logs and its Geological Performance
Wavelet Denoising of Well Logs and its Geological Performance
Well logs play a very important role in exploration and even exploitation of energy resources, but they usually contain kinds of noises which affect the results of the geological i...
Double Exposure
Double Exposure
I. Happy Endings
Chaplin’s Modern Times features one of the most subtly strange endings in Hollywood history. It concludes with the Tramp (Chaplin) and the Gamin (Paulette Godda...
Remote sensing image denoising based on shearlet transform and goodness-of-fit test
Remote sensing image denoising based on shearlet transform and goodness-of-fit test
Aiming at Gaussian white noise in remote sensing images, a remote sensing image denoising algorithm based on shearlet transform and goodness of fit test is proposed. Firstly, the n...
Noise Data Removal and Image Restoration Based on Partial Differential Equation in Sports Image Recognition Technology
Noise Data Removal and Image Restoration Based on Partial Differential Equation in Sports Image Recognition Technology
With the rapid development of image processing technology, the application range of image recognition technology is becoming more and more extensive. Processing, analyzing, and rep...
G-RRDB: An Effective THz Image-Denoising Model for Moldy Wheat
G-RRDB: An Effective THz Image-Denoising Model for Moldy Wheat
In order to solve the problem of large image noise and unremarkable features caused by factors such as fluctuations in the power of a light source during the terahertz image acquis...